Evidence map›Paper›PMID 40601080›Full record

ArticleClinical rheumatology2025

The clinical features and mortality predictors for idiopathic inflammatory myopathies: a retrospective study of 572 patients and the "AIRMT" Score.

Youchao Yu, Yinfang Liu, Xuemei Zhu, Yingmeng Ni, Ranran Dai, Hua Cao, Guochao Shi, Yun Feng

Abstract read
PubMed Publisher
In one paragraph

Article in Clinical rheumatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Youchao Yu *Department of Pulmonary and Critical Care Medicine, School of Medicine, Shanghai Jiao Tong University, Ruijin Hospital, Shanghai, 200025, China.
Yinfang Liu *Department of Respiratory and Critical Care Medicine, The Third Affiliated Hospital of Gansu University of Chinese Medicine, Gansu, China.
Xuemei ZhuDepartment of Pulmonary and Critical Care Medicine, School of Medicine, Shanghai Jiao Tong University, Ruijin Hospital, Shanghai, 200025, China.
Yingmeng NiDepartment of Pulmonary and Critical Care Medicine, School of Medicine, Shanghai Jiao Tong University, Ruijin Hospital, Shanghai, 200025, China.
Ranran DaiDepartment of Pulmonary and Critical Care Medicine, School of Medicine, Shanghai Jiao Tong University, Ruijin Hospital, Shanghai, 200025, China.
Hua CaoDepartment of Dermatology, School of Medicine, Shanghai Jiao Tong University, Ruijin Hospital, Shanghai, 200025, China. drcaohua@126.com.
Guochao ShiDepartment of Pulmonary and Critical Care Medicine, School of Medicine, Shanghai Jiao Tong University, Ruijin Hospital, Shanghai, 200025, China. shiguochao@hotmail.com.
Yun FengDepartment of Pulmonary and Critical Care Medicine, School of Medicine, Shanghai Jiao Tong University, Ruijin Hospital, Shanghai, 200025, China. fy01057@163.com.ORCID http://orcid.org/0000-0001-8198-5240

Funding

National Key Research and Development Project of China 2022YFA1304300National Natural Science Foundation of China 82170086National Natural Science Foundation of China 82200023State Key Laboratory for Diagnosis and Treatment of Infectious Diseases 20dz2261100
6 · The paper itself

Abstract

INTRODUCTION/

objectivesIdiopathic inflammatory myopathies (IIM) accompanied with interstitial lung disease (ILD) are often rapidly progressive and associated with poor prognosis. This study aims to explore the different clinical characteristics and prognostic factors for IIM with and without ILD and to develop a simple predictive model.

methodsWe retrospectively evaluated 572 consecutive patients with IIM from January 2017 to May 2022. Clinical characteristics, comorbidities, survival outcomes, and treatments were assessed. The predictors of all-cause mortality were investigated by Cox regression analysis. An ROC curve was drawn to evaluate the predictive value of independent risk factors.

resultsPatients with IIM-ILD were older and exhibited more respiratory and arthritis symptoms, but fewer tumor comorbidities. The first-year survival rate was 86% for ILD and 95% for non-ILD. The mortality rate in IIM-ILD patients was higher than in non-ILD patients (15.9% vs 6.2%, P = 0.001). ILD patients were more susceptible to various types of infections (bacteria, Pneumocystis jirovecii pneumonia (PJP), fungi, cytomegalovirus, all P < 0.001) and had a higher incidence of intubation (5.1% vs 1.2%, P = 0.009). Age, respiratory failure (RF), tumor, and MDA5 antibodies were independent predictors of survival for both IIM and IIM-ILD. Then, we established the "AIRMT" score and simple "AIRMT" score, which demonstrated good predictive capabilities with an AUC of 0.816 (95% CI 0.766-0.866) and 0.791 (95% CI 0.737-0.846).

conclusionsIIM-ILD patients have higher mortality rates and are more susceptible to infections than non-ILD. This study identified various clinical features and several risk factors associated with all-cause mortality in IIM. The "AIRMT" score was constructed as a reliable survival predictor, offering valuable guidance for further research. Key Points • Patients with IIM-ILD were older and exhibited more respiratory and arthritis symptoms but had fewer tumor comorbidities. • IIM-ILDs have higher all-cause mortality rates and are more prone to infections compared to non-ILD cases. • Age, respiratory failure, tumor comorbidity, and MDA5 antibodies are identified as independent predictors of survival for both IIM and IIM-ILD patients. • We developed a practical clinical model, the "AIRMT" score, which could be a reliable and easy-to-evaluate clinical tool to predict all-cause mortality.

Indexed as

Lung Diseases, InterstitialMyositisAdultAgedComorbidityFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk FactorsSurvival RateIdiopathic inflammatory myopathyInterstitial lung diseaseMDA-5Mortality predictors

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.